I originally created this as a short to-do list of study topics for becoming a software engineer but it grew to the large list you see today. After going through this study plan, I got hired as a Software Development Engineer at Amazon You probably won't have to study as much as I did. Anyway, everything you need is here.

I studied about 8-12 hours a day, for several months. This is my story: Why I studied full-time for 8 months for a Google interview

Please Note: You won't need to study as much as I did. I wasted a lot of time on things I didn't need to know. More info about that is below. I'll help you get there without wasting your precious time.

The items listed here will prepare you well for a technical interview at just about any software company including the…

This repository is a compilation of well-written, step-by-step guides for re-creating our favorite technologies from scratch.

What I cannot create, I do not understand — Richard Feynman.

It's a great way to learn.

• 3D Renderer
• Augmented Reality
• BitTorrent Client
• Blockchain / Cryptocurrency
• Bot
• Command-Line Tool
• Database
• Docker
• Emulator / Virtual Machine
• Front-end Framework / Library
• Game
• Git
• Network Stack
• Neural Network
• Operating System
• Physics Engine
• Programming Language
• Regex Engine
• Search Engine
• Shell
• Template Engine
• Text Editor
• Visual Recognition System
• Voxel Engine
• Web Browser
• Web Server
• Uncategorized

• C++: Introduction to Ray Tracing: a Simple Method for Creating 3D Images
• C++: How OpenGL works: software rendering in 500 lines of code
• C++: Raycasting engine of Wolfenstein 3D
• C++: Physically Based Rendering:From Theory To Implementation
• C++: Ray Tracing in One Weekend
• C++: Rasterization: a Practical Implementation
• C#…

Read on the website

Join/follow us on Discord | 𝕏 (Twitter) | Telegram | Facebook

Not everyone has the time to do a few hundred LeetCode questions. Here are free and curated technical interview preparation materials for busy engineers, brought to you by me, the author of Blind 75. Over 1,000,000 people have benefitted from this handbook!

Besides the usual algorithm questions, other awesome stuff includes:

• Best practice questions for coding interviews
• Grind 75 - the next evolution of Blind 75, bigger and better
• How to prepare for coding interviews
• Coding interview best practices - Straight-to-the-point Do's and Don'ts
• Algorithm cheatsheets and tips categorized by topic
• Step-by-step Software Engineer resume guide to prepare a FAANG-ready resume
• Behavioral questions asked by the top tech companies
• Front end interview preparation

Help from you in contributing content would be very much appreciated!

Security engineering is the discipline of building secure systems.

Its lessons are not just applicable to computer security. In fact, in this repo, I aim to document a process for securing anything, whether it's a medieval castle, an art museum, or a computer network.

Please contribute! Create a pull request or just create a issue for content you'd like to add: I'll add it for you!

• What is security engineering?
• High level process
• Follow known best practices
• Understand your adversaries
• Security policies
• Security models
• Improve defenses

  • Minimize attack surface

  • Minimize and verify your trusted computing base (TCB)

  • Separate privileges

  • Minimize privileges

  • Secure by default

  • Secure by design

  • Prevent/detect/respond framework

  • Kill chains

  • Security design principles

• Find vulnerabilities
  • Developing an attacker mindset
    • Think in graphs
  • Attack trees
  • On, un-bypassable, tamperproof, functionally correct, fail closed
    • Example: a burglar
  • Assumptions analysis
  • Failure analysis
    • Fault tree analysis
    • FMEA
  • …

🇺🇦 UKRAINE IS BEING ATTACKED BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED.

• Help Ukraine via
  • Serhiy Prytula Charity Foundation
  • Come Back Alive Charity Foundation
  • National Bank of Ukraine
• More info on war.ukraine.ua and MFA of Ukraine

This repository contains JavaScript based examples of many popular algorithms and data structures.

Each algorithm and data structure has its own separate README with related explanations and links for further reading (including ones to YouTube videos).

Read this in other languages: 简体中文 繁體中文, 한국어, 日本語, Polski, Français, Español, Português, Русский, Türkçe, Italiana, Bahasa Indonesia, Українська, Arabic, Tiếng Việt, Deutsch, Uzbek

☝ Note that this project is meant to be used for learning and researching purposes only, and it is not meant to be used for production.

What happens behind the scenes when we type google.com in a browser?

Table of Contents

• Google's 'g' key is pressed
• When you hit 'Enter'
• Parse the URL
• Check HSTS list (deprecated)
• DNS lookup
• Opening of a socket + TLS handshake
• HTTP protocol
• HTTP Server Request Handle
• Server Response
• Behind the scenes of the Browser
• The browser's high level structure
• Rendering Engine
• The Main flow
• Parsing Basics
• DOM Tree
  • Why is the DOM slow?
• Render Tree
• Render tree's relation to the DOM tree
• CSS Parsing
• Layout
• Painting
• Trivia
  • The birth of the web

When you just press "g", the browser receives the event and the entire auto-complete machinery kicks into high gear. Depending on your browser's algorithm and if you are in private/incognito mode or not various suggestions will be presented to you in the dropbox below the URL bar. Most of these…

JavaScript Repository of TheAlgorithms, which implements various algorithms and data structures in JavaScript.

Before contributing to this repository, make sure to read our Contribution Guidelines. You can look at other TheAlgorithms Repositories or the issues with a "help wanted" label for inspiration regarding what to implement. Our maintainers will guide you through how to make your contribution properly if you make any mistakes. The names of the maintainers of this repository are listed in the CODEOWNERS file.

You can find a list of the algorithms currently in the repository in the directory. Explanations of many of the algorithms can be found in the wiki.

English ∙ 日本語 ∙ 简体中文 ∙ 繁體中文 | العَرَبِيَّة‎ ∙ বাংলা ∙ Português do Brasil ∙ Deutsch ∙ ελληνικά ∙ עברית ∙ Italiano ∙ 한국어 ∙ فارسی ∙ Polski ∙ русский язык ∙ Español ∙ ภาษาไทย ∙ Türkçe ∙ tiếng Việt ∙ Français | Add Translation

Help translate this guide!

Learn how to design large-scale systems.

Prep for the system design interview.

Learning how to design scalable systems will help you become a better engineer.

System design is a broad topic. There is a vast amount of resources scattered throughout the web on system design principles.

This repo is an organized collection of resources to help you learn how to build systems at scale.

This is a continually updated, open source project.

Contributions are welcome!

In addition…

All your environment variables, in one place

Stop struggling with scattered API keys, hacking together home-brewed tools,

and avoiding access controls. Keep your team and servers in sync with Doppler.

This project is no longer actively supported.

A curated list of lists of technical interview questions.

What makes for an awesome list?

Please read the contribution guidelines or creating a list guide if you want to contribute.

• Programming Languages/Frameworks/Platforms

  • Android
  • AngularJS
  • Angular
  • BackboneJS
  • C++
  • C
  • C♯
  • .NET
  • Clojure
  • CSS
  • Cucumber
  • Django
  • Docker
  • Elastic
  • EmberJS
  • Erlang
  • Golang
  • GraphQl
  • HTML
  • Ionic
  • iOS
  • Java
  • JavaScript
  • jQuery
  • Front-end build tools
  • KnockoutJS
  • Less
  • Lisp
  • NodeJS
  • Objective-C
  • PHP
  • Python
  • ReactJS
  • Rails
  • Ruby
  • Rust
  • Sass
  • Scala
  • Shell
  • Spark
  • Swift
  • Vue.js
  • Wordpress
  • TypeScript

• Database technologies

  • Cassandra
  • Microsoft Access
  • MongoDB
  • MySQL
  • Neo4j
  • Oracle
  • Postgres
  • SQL
  • SQL Lite

• Caching technologies

  • Memcached
  • Redis

• OS

  • Linux
  • Windows

• Algorithms

• Blockchain

• Coding exercises

• Comprehensive lists

• Design patterns

• Data structures

• …

• Algorithms
  • Books
  • Coding practice
  • Guides
  • Misc
• Guides
  • Articles
  • Books
  • Courses
  • Misc
  • Mock interviews
  • Q&A
  • Sites
  • Videos
• Languages and technologies
  • Android
  • ASP.NET
  • C#
  • Go
  • JavaScript
  • Node
  • PHP
  • Python
  • React
• Other topics
  • Crypto
  • Funny
  • Maths
  • Networking
  • Operating systems
  • System design
• Similar repos

Found a dead link? Try archive.is or the Wayback Machine.

• Jeff Erickson - Algorithms
• Steven Skiena – The Algorithm Design Manual
• Udi Manber – Introduction to Algorithms: A Creative Approach
• Cormen, Leiserson, Rivest, Stein – Introduction to Algorithms
• Sedgewick, Wayne – Algorithms
• Antti Laaksonen – Competitive Programmer's Handbook
• Steven & Felix Halim – Competitive Programming
• Jon Bentley – Programming Pearls
• E-Maxx Algorithms
  • Original [RU]
• vhf/free-programming-books
• it-ebooks.info
• S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani -Algorithms

• LeetCode
  • LeetCode w/ Explanations labuladong/fucking-algorithm
• InterviewBit
• Codility
• Intervue.io
• HackerRank
• Project Euler
• Spoj
• Google Code Jam practice problems
• HackerEarth
• Top Coder
• CodeChef
• Codewars
• CodeSignal
• CodeKata
• Firecode
• CoderPad
• Exercism

Go by Example: Programmer's guide to idiomatic and testable code.

👉 https://github.com/inancgumus/gobyexample

This book is what you need once you wrap up the exercises in this repository.

Best way of learning is doing. Inside this repository, you will find thousands of Go examples, exercises and quizzes. I initially created this repository for my Go: Bootcamp Course. Later on, I added a lot of exercises, and I wanted every programmer who is not yet enrolled in the course to learn for free as well. So here it is. Enjoy.

Available in the following languages:

• English
• Spanish (WIP: Please Contribute)
• Chinese (WIP: Please Contribute)

Sharing is free but caring is priceless. So, now please click here and share this repository on Twitter.

• Follow me on Twitter

  I usually tweet Go tips…

1. Introduction
2. Variables
3. Functions
4. Objects and Data Structures
5. Classes
6. SOLID
7. Testing
8. Concurrency
9. Error Handling
10. Formatting
11. Comments
12. Translation

Software engineering principles, from Robert C. Martin's book Clean Code, adapted for JavaScript. This is not a style guide. It's a guide to producing readable, reusable, and refactorable software in JavaScript.

Not every principle herein has to be strictly followed, and even fewer will be universally agreed upon. These are guidelines and nothing more, but they are ones codified over many years of collective experience by the authors of Clean Code.

Our craft of software engineering is just a bit over 50 years old, and we are still learning a lot. When software architecture is as old as architecture itself, maybe then we will have harder rules to follow. For now, let these guidelines serve as a touchstone by which to assess the quality of the JavaScript…

JavaScript Questions

From basic to advanced: test how well you know JavaScript, refresh your knowledge a bit or prepare for your coding interview! 💪 🚀 I update this repo regularly with new questions. I added the answers in the **collapsed sections** below the questions, simply click on them to expand it. It's just for fun, good luck! ❤️

Feel free to reach out to me! 😊

Instagram || Twitter || LinkedIn || Blog